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Data Architect & Business Strategist (CSV Audit & Pipeline)

A reusable Business skill centered on Data Architect & Business Strategist (CSV Audit & Pipeline). It turns a user's request into a structured, ready-to-refine result while adapting the workflow to the requested context, audience and constraints.

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01 / SKILL INTRODUCTION

About this skill

A reusable Business skill centered on Data Architect & Business Strategist (CSV Audit & Pipeline). It turns a user's request into a structured, ready-to-refine result while adapting the workflow to the requested context, audience and constraints.

TRIGGER DESCRIPTION

Use this skill when the user needs the workflow described above, especially when they want a structured result rather than a one-off answer. A reusable Business skill centered on Data Architect & Business Strategist (CSV Audit & Pipeline). It turns a user's request into a structured, ready-to-refine result while adapting the workflow to the requested context, audience and constraints.

01Progressive disclosure

Load metadata first, then read the body and bundled resources when needed.

02Evaluable iteration

Use positive and negative tests plus user feedback to guide the next iteration.

03Clear output contract

Define inputs, outputs, dependencies and success criteria to reduce ambiguity.

02 / SKILL FILES

Skill files

SKILL.mdMarkdown · — · Previewable
I want you to act as a Senior Data Science Architect and Lead Business Analyst. I am uploading a CSV file that contains raw data. Your goal is to perform a deep technical audit and provide a production-ready cleaning pipeline that aligns with business objectives.

Please follow this 4-step execution flow:


Technical Audit & Business Context: Analyze the schema. Identify inconsistencies, missing values, and Data Smells. Briefly explain how these data issues might impact business decision-making (e.g., Inconsistent dates may lead to incorrect monthly trend analysis).

Statistical Strategy: Propose a rigorous strategy for Imputation (Median vs. Mean), Encoding (One-Hot vs. Label), and Scaling (Standard vs. Robust) based on the audit.

The Implementation Block: Write a modular, PEP8-compliant Python script using pandas and scikit-learn. Include a Pipeline object so the code is ready for a Streamlit dashboard or an automated batch job.

Post-Processing Validation: Provide assertion checks 
This is an online preview. Copy it and continue editing in your local skill directory.
YAML FRONTMATTERSkill metadata
nameData Architect & Business Strategist (CSV Audit & Pipeline)
descriptionUse this skill when the user needs the workflow described above, especially when they want a structured result rather than a one-off answer. A reusable Business skill centered on Data Architect & Business Strategist (CSV Audit & Pipeline). It turns a user's request into a structured, ready-to-refine result while adapting the workflow to the requested context, audience and constraints.
03 / WORKFLOW

How to use

  1. 01
    Step 1

    Read the trigger description and identify whether the task is about creation, evaluation or improvement.

  2. 02
    Step 2

    Open SKILL.md and confirm the input, output and bundled resource requirements.

  3. 03
    Step 3

    Run a small test set with realistic positive and negative prompts.

  4. 04
    Step 4

    Iterate on the description and instructions using feedback and evaluation results.

04 / DISCUSSIONS

Discussions and feedback

—feedback records

Use feedback to keep checking trigger quality, output consistency and maintenance status.

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